Eigenvalue-Based Spectrum Sensing with Small Samples Using Circulant Matrix
Eigenvalue-Based Spectrum Sensing with Small Samples Using Circulant Matrix
In cognitive radio (CR) networks, eigenvalue-based detectors (EBDs) have attracted much attention due to their good performance of detecting secondary users (SUs). In order to further improve the detection performance of EBDs with short samples, we propose two new detectors: average circulant matrix-based Roy’s largest root test (ACM-RLRT) and average …